Training: Generative AI in Requirements and Systems Engineering

The increasing complexity of modern technical systems presents engineering processes with a wide range of challenges. In particular, the comprehensive capture and creation of high-quality requirements documents in the field of requirements engineering, as well as the modeling of complex system models in the field of systems engineering, have become more demanding in this environment. 

In this training, you will learn how generative AI can be specifically applied to address these challenges. Using concrete examples, we will illustrate the impact of complexity on real-world development projects and highlight innovative approaches. Dive in and optimize the efficiency and quality of your work processes in requirements and systems engineering. Acquire practical skills that will give you a clear competitive advantage and enable you to successfully master complex engineering tasks.

• Better Requirements Documents: After the training, you will be able to create and optimize comprehensive, high-quality requirements documents. 
• More Efficient Systems Engineering: You will learn how to use generative AI techniques to efficiently develop complex system models. 
• Practical Application: Learn how to seamlessly integrate AI tools into your engineering workflows.
• Networking: Exchange ideas with experts and other participants and expand your professional network.
• Upon completion of the training, you will gain access to high-quality self-study content on the topic of AI for Engineering in the IEM Learning World.

Understanding the Challenges

• A brief introduction to relevant topics in requirements and systems engineering (similar to ISO 15288 or ISO 29148)
• A detailed analysis of the challenges arising from the increasing complexity of modern technical systems.
• Concrete examples from various engineering scenarios to illustrate the complex requirements.

Optimization of Requirements Documents

• Use of generative AI, for example, for the comprehensive capture, creation, or quality control (e.g., in line with the INCOSE Guide to Writing Requirements) of complete requirements documents.
• Application examples and case studies to illustrate the capabilities of these techniques.

Modeling Complex Systems

• Using generative AI in systems engineering for the modeling and optimization of complex systems.
• Hands-on exercises for directly applying what you’ve learned to real-world projects.

Case Studies and Discussion

• Analysis of case studies from various industries to understand the practical application of generative AI.
• Interactive discussions to share experiences and insights.

The training course “Generative AI in Requirements and Systems Engineering” is designed for:

• Engineers in the field of systems development
• Professionals such as requirements engineers and systems engineers, software architects, and product managers
• Anyone who wants to improve the efficiency and precision of their work in requirements and systems engineering

The course is designed for participants from various industries, and the diversity of backgrounds is viewed as an asset.